In [7]:
#4.2
#train the model
e_losses, trained_model = model_train(train_x_y, validate_x_y, test_x_y)
print ("---------------------------finish model training-------------------------")
current epoch: 0 total epoch: 100 batch_num: 16 total batch number: 26 train loss 401.1369729414582 validate loss 365.3183579444885 test loss 432.286337018013 running time for this epoch: 13.87576961517334 --------------------------------------------------------------- --------------------------------------------------------------- current epoch: 1 total epoch: 100 batch_num: 16 total batch number: 26 train loss 375.7586752719901 validate loss 362.3988479375839 test loss 406.8036377429962 running time for this epoch: 14.154553890228271 --------------------------------------------------------------- --------------------------------------------------------------- current epoch: 2 total epoch: 100 batch_num: 16 total batch number: 26 train loss 362.793376531314 validate loss 358.44918340444565 test loss 377.5457292795181 running time for this epoch: 13.857117176055908 --------------------------------------------------------------- --------------------------------------------------------------- current epoch: 3 total epoch: 100 batch_num: 16 total batch number: 26 train loss 344.6627251320967 validate loss 352.54787653684616 test loss 341.8327867984772 running time for this epoch: 14.208048343658447 --------------------------------------------------------------- --------------------------------------------------------------- current epoch: 4 total epoch: 100 batch_num: 16 total batch number: 26 train loss 326.76321264632327 validate loss 346.54010087251663 test loss 307.1129508316517 running time for this epoch: 14.815295457839966 --------------------------------------------------------------- --------------------------------------------------------------- current epoch: 5 total epoch: 100 batch_num: 16 total batch number: 26 train loss 308.19868737900697 validate loss 339.0832245349884 test loss 274.080578237772 running time for this epoch: 15.00539493560791 --------------------------------------------------------------- --------------------------------------------------------------- current epoch: 6 total epoch: 100 batch_num: 16 total batch number: 26 train loss 294.11813157990025 validate loss 329.35190945863724 test loss 241.64533242583275 running time for this epoch: 15.028581857681274 --------------------------------------------------------------- --------------------------------------------------------------- current epoch: 7 total epoch: 100 batch_num: 16 total batch number: 26 train loss 279.6560650070508 validate loss 315.83499163389206 test loss 213.05888891220093 running time for this epoch: 15.134533643722534 --------------------------------------------------------------- --------------------------------------------------------------- current epoch: 8 total epoch: 100 batch_num: 16 total batch number: 26 train loss 268.94710751043425 validate loss 299.2713265120983 test loss 188.41762095689774 running time for this epoch: 15.226862668991089 --------------------------------------------------------------- --------------------------------------------------------------- current epoch: 9 total epoch: 100 batch_num: 16 total batch number: 26 train loss 250.70267367280192 validate loss 279.15913611650467 test loss 168.6314307153225
running time for this epoch: 15.682638168334961 --------------------------------------------------------------- --------------------------------------------------------------- current epoch: 10 total epoch: 100 batch_num: 16 total batch number: 26 train loss 251.84111790386618 validate loss 257.14827701449394 test loss 150.60318633913994 running time for this epoch: 15.38539743423462 --------------------------------------------------------------- --------------------------------------------------------------- current epoch: 11 total epoch: 100 batch_num: 16 total batch number: 26 train loss 226.47470408291727 validate loss 232.24566131830215 test loss 133.62636789679527 running time for this epoch: 15.462918996810913 --------------------------------------------------------------- --------------------------------------------------------------- current epoch: 12 total epoch: 100 batch_num: 16 total batch number: 26 train loss 215.9753676365923 validate loss 205.08021116256714 test loss 118.64605359733105 running time for this epoch: 15.533093929290771 --------------------------------------------------------------- --------------------------------------------------------------- current epoch: 13 total epoch: 100 batch_num: 16 total batch number: 26 train loss 220.95035571880913 validate loss 184.93838608264923 test loss 108.87616313993931 running time for this epoch: 15.400794982910156 --------------------------------------------------------------- --------------------------------------------------------------- current epoch: 14 total epoch: 100 batch_num: 16 total batch number: 26 train loss 194.68448331786527 validate loss 164.87710177898407 test loss 99.14388880133629 running time for this epoch: 15.529341697692871 --------------------------------------------------------------- --------------------------------------------------------------- current epoch: 15 total epoch: 100 batch_num: 16 total batch number: 26 train loss 185.4559078950573 validate loss 146.74232341349125 test loss 91.77163243293762 running time for this epoch: 15.437391519546509 --------------------------------------------------------------- --------------------------------------------------------------- current epoch: 16 total epoch: 100 batch_num: 16 total batch number: 26 train loss 189.50181857993203 validate loss 130.9127639979124 test loss 83.4105908870697 running time for this epoch: 15.53785228729248 --------------------------------------------------------------- --------------------------------------------------------------- current epoch: 17 total epoch: 100 batch_num: 16 total batch number: 26 train loss 169.86982293289014 validate loss 117.35087260603905 test loss 78.22628132998943 running time for this epoch: 16.37969946861267 --------------------------------------------------------------- --------------------------------------------------------------- current epoch: 18 total epoch: 100 batch_num: 16 total batch number: 26 train loss 166.92248397265323 validate loss 106.97860270738602 test loss 73.08672647923231 running time for this epoch: 15.624189853668213 --------------------------------------------------------------- --------------------------------------------------------------- current epoch: 19 total epoch: 100 batch_num: 16 total batch number: 26 train loss 156.88836264113587 validate loss 96.63913398981094 test loss 69.15267556905746
running time for this epoch: 15.897958993911743 --------------------------------------------------------------- --------------------------------------------------------------- current epoch: 20 total epoch: 100 batch_num: 16 total batch number: 26 train loss 150.17531484503436 validate loss 87.93131448328495 test loss 64.677270129323 running time for this epoch: 15.6527419090271 --------------------------------------------------------------- --------------------------------------------------------------- current epoch: 21 total epoch: 100 batch_num: 16 total batch number: 26 train loss 145.3471602872014 validate loss 81.63411170244217 test loss 61.9190139696002 running time for this epoch: 15.64637279510498 --------------------------------------------------------------- --------------------------------------------------------------- current epoch: 22 total epoch: 100 batch_num: 16 total batch number: 26 train loss 141.54786519982196 validate loss 76.37091912329197 test loss 58.97723138332367 running time for this epoch: 15.705616235733032 --------------------------------------------------------------- --------------------------------------------------------------- current epoch: 23 total epoch: 100 batch_num: 16 total batch number: 26 train loss 135.96409414377476 validate loss 70.76610345393419 test loss 56.26370199024677 running time for this epoch: 15.744271993637085 --------------------------------------------------------------- --------------------------------------------------------------- current epoch: 24 total epoch: 100 batch_num: 16 total batch number: 26 train loss 131.490644481447 validate loss 66.68413057923317 test loss 55.077201686799526 running time for this epoch: 15.746338605880737 --------------------------------------------------------------- --------------------------------------------------------------- current epoch: 25 total epoch: 100 batch_num: 16 total batch number: 26 train loss 154.28513598938784 validate loss 63.49924951791763 test loss 53.95018495619297 running time for this epoch: 15.814890146255493 --------------------------------------------------------------- --------------------------------------------------------------- current epoch: 26 total epoch: 100 batch_num: 16 total batch number: 26 train loss 123.7047782719687 validate loss 59.95720624923706 test loss 50.029391422867775 running time for this epoch: 15.76757550239563 --------------------------------------------------------------- --------------------------------------------------------------- current epoch: 27 total epoch: 100 batch_num: 16 total batch number: 26 train loss 136.4527512514205 validate loss 58.21011960506439 test loss 48.72069228440523 running time for this epoch: 15.836560249328613 --------------------------------------------------------------- --------------------------------------------------------------- current epoch: 28 total epoch: 100 batch_num: 16 total batch number: 26 train loss 122.38698778674006 validate loss 56.82697519659996 test loss 46.75617441534996 running time for this epoch: 15.78766131401062 --------------------------------------------------------------- --------------------------------------------------------------- current epoch: 29 total epoch: 100 batch_num: 16 total batch number: 26 train loss 115.82250034229624 validate loss 55.05374167114496 test loss 45.360890217125416
running time for this epoch: 16.12172222137451 --------------------------------------------------------------- --------------------------------------------------------------- current epoch: 30 total epoch: 100 batch_num: 16 total batch number: 26 train loss 113.93859689296394 validate loss 54.35987841337919 test loss 44.982307590544224 running time for this epoch: 15.927704572677612 --------------------------------------------------------------- --------------------------------------------------------------- current epoch: 31 total epoch: 100 batch_num: 16 total batch number: 26 train loss 124.13732586773459 validate loss 53.55408415198326 test loss 43.95779222249985 running time for this epoch: 15.895678997039795 --------------------------------------------------------------- --------------------------------------------------------------- current epoch: 32 total epoch: 100 batch_num: 16 total batch number: 26 train loss 108.82774635252576 validate loss 53.11660002917051 test loss 43.295249342918396 running time for this epoch: 16.066495180130005 --------------------------------------------------------------- --------------------------------------------------------------- current epoch: 33 total epoch: 100 batch_num: 16 total batch number: 26 train loss 105.6121256098979 validate loss 53.13653498888016 test loss 42.06427838653326 running time for this epoch: 16.03439497947693 --------------------------------------------------------------- --------------------------------------------------------------- current epoch: 34 total epoch: 100 batch_num: 16 total batch number: 26 train loss 104.82050487081762 validate loss 52.53156181424856 test loss 42.0406274497509 running time for this epoch: 15.91681694984436 --------------------------------------------------------------- --------------------------------------------------------------- current epoch: 35 total epoch: 100 batch_num: 16 total batch number: 26 train loss 104.3631285601468 validate loss 52.80188750475645 test loss 41.860807687044144 running time for this epoch: 15.902109622955322 --------------------------------------------------------------- --------------------------------------------------------------- current epoch: 36 total epoch: 100 batch_num: 16 total batch number: 26 train loss 102.84207381859973 validate loss 52.709365263581276 test loss 42.23901778459549 running time for this epoch: 15.858245372772217 --------------------------------------------------------------- --------------------------------------------------------------- current epoch: 37 total epoch: 100 batch_num: 16 total batch number: 26 train loss 113.33859008219507 validate loss 53.3883273601532 test loss 41.01751372218132 running time for this epoch: 15.820679187774658 --------------------------------------------------------------- --------------------------------------------------------------- current epoch: 38 total epoch: 100 batch_num: 16 total batch number: 26 train loss 97.86960091096934 validate loss 55.16550503671169 test loss 40.03941547125578 running time for this epoch: 15.843587160110474 --------------------------------------------------------------- --------------------------------------------------------------- current epoch: 39 total epoch: 100 batch_num: 16 total batch number: 26 train loss 108.65417679909754 validate loss 55.15444092452526 test loss 40.3381884098053
running time for this epoch: 16.20094609260559 --------------------------------------------------------------- --------------------------------------------------------------- current epoch: 40 total epoch: 100 batch_num: 16 total batch number: 26 train loss 95.68061205317025 validate loss 55.823554284870625 test loss 39.47267308831215 running time for this epoch: 15.941930532455444 --------------------------------------------------------------- --------------------------------------------------------------- current epoch: 41 total epoch: 100 batch_num: 16 total batch number: 26 train loss 108.05658030289192 validate loss 55.67504093050957 test loss 40.44977016746998 running time for this epoch: 15.929491996765137 --------------------------------------------------------------- --------------------------------------------------------------- current epoch: 42 total epoch: 100 batch_num: 16 total batch number: 26 train loss 92.82790426233854 validate loss 58.235181495547295 test loss 39.5224429666996 running time for this epoch: 15.971227407455444 --------------------------------------------------------------- --------------------------------------------------------------- current epoch: 43 total epoch: 100 batch_num: 16 total batch number: 26 train loss 91.93006885686407 validate loss 58.34268871694803 test loss 39.48812372982502 running time for this epoch: 15.903128862380981 --------------------------------------------------------------- --------------------------------------------------------------- current epoch: 44 total epoch: 100 batch_num: 16 total batch number: 26 train loss 91.0104301119982 validate loss 58.55949129909277 test loss 40.20447377115488 running time for this epoch: 16.102181673049927 --------------------------------------------------------------- --------------------------------------------------------------- current epoch: 45 total epoch: 100 batch_num: 16 total batch number: 26 train loss 90.4422677639458 validate loss 59.48068108409643 test loss 39.756312035024166 running time for this epoch: 16.249284267425537 --------------------------------------------------------------- --------------------------------------------------------------- current epoch: 46 total epoch: 100 batch_num: 16 total batch number: 26 train loss 89.89917571414952 validate loss 60.524833388626575 test loss 40.00023007392883 running time for this epoch: 16.48489499092102 --------------------------------------------------------------- --------------------------------------------------------------- current epoch: 47 total epoch: 100 batch_num: 16 total batch number: 26 train loss 88.60944705601368 validate loss 61.390926130115986 test loss 39.67647906392813 running time for this epoch: 16.31581950187683 --------------------------------------------------------------- --------------------------------------------------------------- current epoch: 48 total epoch: 100 batch_num: 16 total batch number: 26 train loss 90.35104618373292 validate loss 61.25633139163256 test loss 40.41424486786127 running time for this epoch: 16.19239640235901 --------------------------------------------------------------- --------------------------------------------------------------- current epoch: 49 total epoch: 100 batch_num: 16 total batch number: 26 train loss 87.63121372019802 validate loss 62.41271737962961 test loss 40.50347022712231
running time for this epoch: 16.517268657684326 --------------------------------------------------------------- --------------------------------------------------------------- current epoch: 50 total epoch: 100 batch_num: 16 total batch number: 26 train loss 98.11168640024133 validate loss 63.93613759428263 test loss 39.79811444878578 running time for this epoch: 16.12827777862549 --------------------------------------------------------------- --------------------------------------------------------------- current epoch: 51 total epoch: 100 batch_num: 16 total batch number: 26 train loss 86.51708407948414 validate loss 66.51342380791903 test loss 38.56616327539086 running time for this epoch: 16.286683797836304 --------------------------------------------------------------- --------------------------------------------------------------- current epoch: 52 total epoch: 100 batch_num: 16 total batch number: 26 train loss 86.47418227391664 validate loss 67.28033069521189 test loss 38.96397305652499 running time for this epoch: 16.281290292739868 --------------------------------------------------------------- --------------------------------------------------------------- current epoch: 53 total epoch: 100 batch_num: 16 total batch number: 26 train loss 87.77082276841006 validate loss 67.21921265125275 test loss 38.92057342454791 running time for this epoch: 16.366270780563354 --------------------------------------------------------------- --------------------------------------------------------------- current epoch: 54 total epoch: 100 batch_num: 16 total batch number: 26 train loss 84.94367926485009 validate loss 66.61566905677319 test loss 39.9151211604476 running time for this epoch: 16.1788969039917 --------------------------------------------------------------- --------------------------------------------------------------- current epoch: 55 total epoch: 100 batch_num: 16 total batch number: 26 train loss 84.47872694685228 validate loss 67.61624943464994 test loss 39.68349192291498 running time for this epoch: 15.988470554351807 --------------------------------------------------------------- --------------------------------------------------------------- current epoch: 56 total epoch: 100 batch_num: 16 total batch number: 26 train loss 84.85109812614543 validate loss 68.68939846754074 test loss 39.354502223432064 running time for this epoch: 15.945538759231567 --------------------------------------------------------------- --------------------------------------------------------------- current epoch: 57 total epoch: 100 batch_num: 16 total batch number: 26 train loss 83.78856707605775 validate loss 67.68982857465744 test loss 40.13941157609224 running time for this epoch: 15.984057426452637 --------------------------------------------------------------- --------------------------------------------------------------- current epoch: 58 total epoch: 100 batch_num: 16 total batch number: 26 train loss 83.34349258802831 validate loss 70.59973198920488 test loss 38.81158772855997 running time for this epoch: 15.921997785568237 --------------------------------------------------------------- --------------------------------------------------------------- current epoch: 59 total epoch: 100 batch_num: 16 total batch number: 26 train loss 82.95726212155488 validate loss 70.42977027595043 test loss 39.40660506486893
running time for this epoch: 16.321628093719482 --------------------------------------------------------------- --------------------------------------------------------------- current epoch: 60 total epoch: 100 batch_num: 16 total batch number: 26 train loss 82.70993992617284 validate loss 72.0567349344492 test loss 38.518174551427364 running time for this epoch: 16.033020973205566 --------------------------------------------------------------- --------------------------------------------------------------- current epoch: 61 total epoch: 100 batch_num: 16 total batch number: 26 train loss 84.12213892572456 validate loss 73.34192283451557 test loss 38.50838867947459 running time for this epoch: 15.992528438568115 --------------------------------------------------------------- --------------------------------------------------------------- current epoch: 62 total epoch: 100 batch_num: 16 total batch number: 26 train loss 82.37526450237189 validate loss 73.40784650295973 test loss 38.387749809771776 running time for this epoch: 15.944736242294312 --------------------------------------------------------------- --------------------------------------------------------------- current epoch: 63 total epoch: 100 batch_num: 16 total batch number: 26 train loss 88.13710723727665 validate loss 74.19107481837273 test loss 38.163389544934034 running time for this epoch: 15.98640513420105 --------------------------------------------------------------- --------------------------------------------------------------- current epoch: 64 total epoch: 100 batch_num: 16 total batch number: 26 train loss 81.3586228630609 validate loss 75.15344768762589 test loss 38.34041766822338 running time for this epoch: 15.953441381454468 --------------------------------------------------------------- --------------------------------------------------------------- current epoch: 65 total epoch: 100 batch_num: 16 total batch number: 26 train loss 81.15819116398968 validate loss 76.08785759657621 test loss 38.27946027740836 running time for this epoch: 15.871235370635986 --------------------------------------------------------------- --------------------------------------------------------------- current epoch: 66 total epoch: 100 batch_num: 16 total batch number: 26 train loss 81.74983681076102 validate loss 76.43953431397676 test loss 37.85586217418313 running time for this epoch: 15.869899988174438 --------------------------------------------------------------- --------------------------------------------------------------- current epoch: 67 total epoch: 100 batch_num: 16 total batch number: 26 train loss 82.30053341119654 validate loss 76.56179368495941 test loss 38.17412070930004 running time for this epoch: 16.025413751602173 --------------------------------------------------------------- --------------------------------------------------------------- current epoch: 68 total epoch: 100 batch_num: 16 total batch number: 26 train loss 80.95924932233713 validate loss 76.21743716299534 test loss 38.234591484069824 running time for this epoch: 16.042994260787964 --------------------------------------------------------------- --------------------------------------------------------------- current epoch: 69 total epoch: 100 batch_num: 16 total batch number: 26 train loss 80.70780421365743 validate loss 75.79091005027294 test loss 38.37288124486804
running time for this epoch: 16.44331455230713 --------------------------------------------------------------- --------------------------------------------------------------- current epoch: 70 total epoch: 100 batch_num: 16 total batch number: 26 train loss 80.2269079118829 validate loss 77.36490573734045 test loss 37.884057965129614 running time for this epoch: 15.8685884475708 --------------------------------------------------------------- --------------------------------------------------------------- current epoch: 71 total epoch: 100 batch_num: 16 total batch number: 26 train loss 80.34154466629305 validate loss 79.17272858321667 test loss 37.39427775144577 running time for this epoch: 15.88437557220459 --------------------------------------------------------------- --------------------------------------------------------------- current epoch: 72 total epoch: 100 batch_num: 16 total batch number: 26 train loss 80.9479683327178 validate loss 79.52883839607239 test loss 37.826166953891516 running time for this epoch: 15.975945711135864 --------------------------------------------------------------- --------------------------------------------------------------- current epoch: 73 total epoch: 100 batch_num: 16 total batch number: 26 train loss 82.7503040070749 validate loss 76.97085849940777 test loss 38.46188308671117 running time for this epoch: 15.880822658538818 --------------------------------------------------------------- --------------------------------------------------------------- current epoch: 74 total epoch: 100 batch_num: 16 total batch number: 26 train loss 80.30727458255436 validate loss 75.67427586764097 test loss 38.89917163178325 running time for this epoch: 15.95020842552185 --------------------------------------------------------------- --------------------------------------------------------------- current epoch: 75 total epoch: 100 batch_num: 16 total batch number: 26 train loss 79.67406763108794 validate loss 79.36852052807808 test loss 37.296966183930635 running time for this epoch: 16.044362545013428 --------------------------------------------------------------- --------------------------------------------------------------- current epoch: 76 total epoch: 100 batch_num: 16 total batch number: 26 train loss 78.96564551629126 validate loss 78.15628312528133 test loss 37.053267005831 running time for this epoch: 16.050203800201416 --------------------------------------------------------------- --------------------------------------------------------------- current epoch: 77 total epoch: 100 batch_num: 16 total batch number: 26 train loss 91.09163570597215 validate loss 79.70972917973995 test loss 36.799279041588306 running time for this epoch: 16.029016733169556 --------------------------------------------------------------- --------------------------------------------------------------- current epoch: 78 total epoch: 100 batch_num: 16 total batch number: 26 train loss 78.59338641908296 validate loss 81.01075887680054 test loss 35.99388059228659 running time for this epoch: 16.109585285186768 --------------------------------------------------------------- --------------------------------------------------------------- current epoch: 79 total epoch: 100 batch_num: 16 total batch number: 26 train loss 79.48214494347296 validate loss 81.13984018564224 test loss 36.07755759730935
running time for this epoch: 16.31273627281189 --------------------------------------------------------------- --------------------------------------------------------------- current epoch: 80 total epoch: 100 batch_num: 16 total batch number: 26 train loss 78.590762309937 validate loss 82.03139528632164 test loss 35.51028203219175 running time for this epoch: 16.04347848892212 --------------------------------------------------------------- --------------------------------------------------------------- current epoch: 81 total epoch: 100 batch_num: 16 total batch number: 26 train loss 78.52736757033401 validate loss 80.58389648795128 test loss 36.44448472186923 running time for this epoch: 16.080236673355103 --------------------------------------------------------------- --------------------------------------------------------------- current epoch: 82 total epoch: 100 batch_num: 16 total batch number: 26 train loss 78.48550483618898 validate loss 78.03201209753752 test loss 37.70284587517381 running time for this epoch: 16.048739433288574 --------------------------------------------------------------- --------------------------------------------------------------- current epoch: 83 total epoch: 100 batch_num: 16 total batch number: 26 train loss 78.25976974951723 validate loss 81.0924731194973 test loss 35.698877181857824 running time for this epoch: 15.988569736480713 --------------------------------------------------------------- --------------------------------------------------------------- current epoch: 84 total epoch: 100 batch_num: 16 total batch number: 26 train loss 79.19636529145968 validate loss 82.03073404729366 test loss 35.53538117557764 running time for this epoch: 16.04919171333313 --------------------------------------------------------------- --------------------------------------------------------------- current epoch: 85 total epoch: 100 batch_num: 16 total batch number: 26 train loss 78.30922431484967 validate loss 80.59956133365631 test loss 36.30792023614049 running time for this epoch: 15.907488822937012 --------------------------------------------------------------- --------------------------------------------------------------- current epoch: 86 total epoch: 100 batch_num: 16 total batch number: 26 train loss 77.67637876828236 validate loss 80.54852485656738 test loss 36.63987386971712 running time for this epoch: 15.925904989242554 --------------------------------------------------------------- --------------------------------------------------------------- current epoch: 87 total epoch: 100 batch_num: 16 total batch number: 26 train loss 78.50849725030086 validate loss 80.64794354140759 test loss 35.8082982711494 running time for this epoch: 15.330076217651367 --------------------------------------------------------------- --------------------------------------------------------------- current epoch: 88 total epoch: 100 batch_num: 16 total batch number: 26 train loss 79.71687863270441 validate loss 82.42295123636723 test loss 35.60900688171387 running time for this epoch: 15.238422393798828 --------------------------------------------------------------- --------------------------------------------------------------- current epoch: 89 total epoch: 100 batch_num: 16 total batch number: 26 train loss 77.278770385655 validate loss 78.8944959640503 test loss 35.97936825826764
running time for this epoch: 15.568405866622925 --------------------------------------------------------------- --------------------------------------------------------------- current epoch: 90 total epoch: 100 batch_num: 16 total batch number: 26 train loss 77.18503460098334 validate loss 81.45247586071491 test loss 35.653780214488506 running time for this epoch: 15.34430718421936 --------------------------------------------------------------- --------------------------------------------------------------- current epoch: 91 total epoch: 100 batch_num: 16 total batch number: 26 train loss 78.05293792410305 validate loss 81.17890916764736 test loss 35.327046643942595 running time for this epoch: 15.393005132675171 --------------------------------------------------------------- --------------------------------------------------------------- current epoch: 92 total epoch: 100 batch_num: 16 total batch number: 26 train loss 77.82280656371128 validate loss 81.51805959641933 test loss 35.14571348205209 running time for this epoch: 15.308064699172974 --------------------------------------------------------------- --------------------------------------------------------------- current epoch: 93 total epoch: 100 batch_num: 16 total batch number: 26 train loss 76.79803529754281 validate loss 80.02109825611115 test loss 35.53838701918721 running time for this epoch: 15.419700860977173 --------------------------------------------------------------- --------------------------------------------------------------- current epoch: 94 total epoch: 100 batch_num: 16 total batch number: 26 train loss 76.69089469817226 validate loss 79.39450442790985 test loss 36.14672925323248 running time for this epoch: 15.379451036453247 --------------------------------------------------------------- --------------------------------------------------------------- current epoch: 95 total epoch: 100 batch_num: 16 total batch number: 26 train loss 77.07686456679194 validate loss 80.47173731029034 test loss 35.48799781128764 running time for this epoch: 15.362515926361084 --------------------------------------------------------------- --------------------------------------------------------------- current epoch: 96 total epoch: 100 batch_num: 16 total batch number: 26 train loss 76.70930246132667 validate loss 81.42953738570213 test loss 34.89781869575381 running time for this epoch: 15.480377197265625 --------------------------------------------------------------- --------------------------------------------------------------- current epoch: 97 total epoch: 100 batch_num: 16 total batch number: 26 train loss 76.2750096058611 validate loss 82.50030688941479 test loss 34.965137019753456 running time for this epoch: 15.3143310546875 --------------------------------------------------------------- --------------------------------------------------------------- current epoch: 98 total epoch: 100 batch_num: 16 total batch number: 26 train loss 76.74466620233876 validate loss 80.82902058959007 test loss 35.043798852711916 running time for this epoch: 15.350132465362549 --------------------------------------------------------------- --------------------------------------------------------------- current epoch: 99 total epoch: 100 batch_num: 16 total batch number: 26 train loss 76.59885721902053 validate loss 82.26851001381874 test loss 34.510025288909674
running time for this epoch: 15.7138032913208 --------------------------------------------------------------- --------------------------------------------------------------- ---------------------------finish model training-------------------------
